Why is the literature on first impressions so focused on White faces?
We spontaneously attribute to strangers a wide variety of character traits based on their
facial appearance. While these first impressions have little or no basis in reality, they exert a …
facial appearance. While these first impressions have little or no basis in reality, they exert a …
Comparison of human and computer performance across face recognition experiments
PJ Phillips, AJ O'toole - Image and Vision Computing, 2014 - Elsevier
Since 2005, human and computer performance has been systematically compared as part of
face recognition competitions, with results being reported for both still and video imagery …
face recognition competitions, with results being reported for both still and video imagery …
Racial faces in the wild: Reducing racial bias by information maximization adaptation network
Racial bias is an important issue in biometric, but has not been thoroughly studied in deep
face recognition. In this paper, we first contribute a dedicated dataset called Racial Faces in …
face recognition. In this paper, we first contribute a dedicated dataset called Racial Faces in …
Mitigating bias in face recognition using skewness-aware reinforcement learning
Racial equality is an important theme of international human rights law, but it has been
largely obscured when the overall face recognition accuracy is pursued blindly. More facts …
largely obscured when the overall face recognition accuracy is pursued blindly. More facts …
Demographic bias in biometrics: A survey on an emerging challenge
P Drozdowski, C Rathgeb, A Dantcheva… - … on Technology and …, 2020 - ieeexplore.ieee.org
Systems incorporating biometric technologies have become ubiquitous in personal,
commercial, and governmental identity management applications. Both cooperative (eg …
commercial, and governmental identity management applications. Both cooperative (eg …
Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
Previous generations of face recognition algorithms differ in accuracy for images of different
races (race bias). Here, we present the possible underlying factors (data-driven and …
races (race bias). Here, we present the possible underlying factors (data-driven and …
A comprehensive study on face recognition biases beyond demographics
Face recognition (FR) systems have a growing effect on critical decision-making processes.
Recent works have shown that FR solutions show strong performance differences based on …
Recent works have shown that FR solutions show strong performance differences based on …
[图书][B] Developmental robotics: From babies to robots
A Cangelosi, M Schlesinger - 2015 - books.google.com
A comprehensive overview of an interdisciplinary approach to robotics that takes direct
inspiration from the developmental and learning phenomena observed in children's …
inspiration from the developmental and learning phenomena observed in children's …
Face recognition performance: Role of demographic information
This paper studies the influence of demographics on the performance of face recognition
algorithms. The recognition accuracies of six different face recognition algorithms (three …
algorithms. The recognition accuracies of six different face recognition algorithms (three …
Casia-surf cefa: A benchmark for multi-modal cross-ethnicity face anti-spoofing
The issue of ethnic bias has proven to affect the performance of face recognition in previous
works, while it still remains to be vacant in face anti-spoofing. Therefore, in order to study the …
works, while it still remains to be vacant in face anti-spoofing. Therefore, in order to study the …